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Generative AI (genAI) offers surgical benefits but poses risks. This article proposes five ethical principles for responsible genAI adoption in plastic surgery, ensuring patient safety and equitable care.

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Area of Science:

  • Medical Technology
  • Artificial Intelligence in Surgery
  • Plastic Surgery Innovations

Background:

  • Artificial intelligence (AI) integration is revolutionizing surgical care, improving efficiency and patient outcomes.
  • Generative AI (genAI), utilizing large language models, shows potential for automating surgical tasks like planning and documentation.
  • Current genAI lacks FDA approval for surgical use, highlighting regulatory and ethical concerns including misinformation, data breaches, and bias.

Purpose of the Study:

  • To propose five ethical principles for the adoption and governance of genAI in plastic surgery.
  • To adapt World Health Organization recommendations for ethical AI implementation in surgical contexts.
  • To address potential ethical breaches and ensure responsible genAI integration in healthcare.

Main Methods:

  • Adaptation of World Health Organization ethical recommendations.
  • Development of five core ethical principles: data transparency, patient autonomy, safety and accountability, equity, and sustainability.
  • Illustration of principles with hypothetical case studies.

Main Results:

  • The proposed principles provide a framework for ethical genAI deployment in plastic surgery.
  • Case studies demonstrate potential ethical challenges and the necessity of rigorous testing and monitoring.
  • Emphasis on clear communication and continuous oversight for safe genAI integration.

Conclusions:

  • Adherence to the five ethical principles is crucial for maximizing genAI benefits while mitigating risks in surgery.
  • Responsible implementation requires rigorous testing, transparent communication, and ongoing evaluation.
  • Ethical guidelines are essential to ensure genAI enhances patient care and maintains high standards in surgical practice.